You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Something is wrong in the normalization and trend lines for the tiles vs. time plot:
In this case, there should be 3 trend lines, one for each of DARK, GRAY, and BRIGHT with different numbers of total tiles after 5 years for each program:
In [5]: for p in set(t['PROGRAM']):
...: print(p, np.count_nonzero(t['PROGRAM'] == p))
...:
BRIGHT 6028
GRAY 2005
DARK 8038
It also looks like the plot is showing the number of exposures for each program instead of the number of tiles:
In [8]: for p in set(exp['PROGRAM']):
...: ii = exp['PROGRAM'] == p
...: nexp = np.count_nonzero(ii)
...: ntiles = len(set(exp['TILEID'][ii]))
...: print(p, nexp, ntiles)
...:
CALIB 810 1
GRAY 850 296
BRIGHT 1703 785
DARK 4093 1595
e.g. the DARK line should have reached 1595, not 4093.
The text was updated successfully, but these errors were encountered:
I see the problem; I did make a new table without repeated tiles, but continued using the full exposures table when making the plot. I have fixed it now in the new branch, and added separate "ideal lines" for DARK, GRAY, and BRIGHT.
Something is wrong in the normalization and trend lines for the tiles vs. time plot:
In this case, there should be 3 trend lines, one for each of DARK, GRAY, and BRIGHT with different numbers of total tiles after 5 years for each program:
It also looks like the plot is showing the number of exposures for each program instead of the number of tiles:
e.g. the DARK line should have reached 1595, not 4093.
The text was updated successfully, but these errors were encountered: